🤖 AI Analysis

Final verdict: SAFE

The package appears to be safe with no detected network or shell risks. The recent updates address bugs and introduce a new security layer, suggesting active maintenance.

No network calls detected.
No shell execution patterns found.

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires network functionality.
Shell: No shell execution patterns detected, indicating no direct command execution from the package.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: ms27.hinet.net>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

No GitHub repository link found

⚠ Maintainer History score 6.0

3 maintainer concern(s) found

Author name is missing or very short
Author "" appears to have only 1 package on PyPI (new or inactive account)
Package has no PyPI classifiers (low effort / metadata quality)

✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with ModbusLibAPI

Your task is to develop a simple but powerful monitoring tool for industrial automation systems using the 'ModbusLibAPI' Python package. This tool will allow users to connect to Modbus-enabled devices, such as sensors or actuators, and retrieve data from them in real-time. Additionally, it should provide functionality to log the data over time and display it graphically for analysis.

### Project Overview:
- **Name**: Modbus Data Monitor
- **Core Functionality**: Connect to Modbus devices, read data, log data, and visualize data.

### Key Features:
1. **Device Connection**:
- Users should be able to input device IP address, port number, and other necessary parameters to establish a connection.
2. **Data Reading**:
- Once connected, the tool should periodically fetch data from the Modbus registers.
3. **Data Logging**:
- All fetched data should be saved into a local SQLite database for historical reference.
4. **Graphical Visualization**:
- Implement a basic line chart to show trends over time.
5. **User Interface**:
- Develop a simple GUI using Tkinter to make the tool user-friendly.
6. **Error Handling**:
- Ensure robust error handling for network issues and invalid inputs.
7. **Configuration File**:
- Provide a configuration file where users can set default parameters like polling interval and logging settings.

### Utilization of 'ModbusLibAPI':
- Use the 'ModbusLibAPI' package to handle all Modbus communication tasks. Specifically, utilize its functions for connecting to Modbus servers, reading from registers, and managing connections efficiently.

### Development Steps:
1. Set up your development environment with Python and install 'ModbusLibAPI'.
2. Create a configuration file for storing user-defined parameters.
3. Write the code to connect to a Modbus server using 'ModbusLibAPI'.
4. Implement periodic data fetching from Modbus registers.
5. Integrate a SQLite database for storing the fetched data.
6. Develop a graphical interface for displaying the data using Tkinter.
7. Add error handling to ensure smooth operation under various conditions.
8. Test the application thoroughly with different scenarios.
9. Document your work and prepare a README.md file explaining installation, configuration, and usage instructions.